Applications of Differentiation — Topic 02

Curve Sketching
The Complete Calculus Method

Calculus lets you sketch a function accurately without plotting hundreds of points. This page walks through every step of the 7-step method (from finding the domain to marking inflection points) with clear explanations, annotated diagrams, worked examples for every function type, and a quiz to test your understanding.

7Systematic Steps
8Worked Examples
6Annotated Diagrams
10Quiz Questions
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On This Page
  1. Why Use Calculus to Sketch Curves?
  2. The 7-Step Method, Overview
  3. Step 1 & 2: Domain and Intercepts
  4. Step 3: Symmetry
  5. Step 4: Asymptotes
  6. Step 5, Increasing, Decreasing & the First Derivative Test
  7. Step 6: Concavity and Inflection Points
  8. Fully Worked Examples
  9. Common Mistakes
  10. 10-Question Quiz

§ 01Why Use Calculus to Sketch Curves?

Plotting a few points tells you where a curve passes. Calculus tells you what it is doing: where it rises and falls, where it bends, where it blows up, and what it approaches at infinity. These are fundamentally different kinds of information.

To see why this matters, consider f(x) = x³ − 3x. If you happen to evaluate it only at integers, you might tabulate: f(−2) = −2, f(−1) = 2, f(0) = 0, f(1) = −2, f(2) = 2. That looks like a reasonable set of points, but connecting them naively will completely miss the local maximum at x = −1 and the local minimum at x = 1, both of which are right there between the tabulated values. The calculus method finds these features with certainty, regardless of which x-values you choose to evaluate.

The calculus approach also gives you qualitative information you cannot extract from a table at all: the exact x-coordinates of every turning point, the precise locations where the curve changes concavity, and the lines the curve approaches asymptotically at the edges of its domain. A completed curve sketch made with calculus is therefore a proof: every marked feature is backed by a derivative calculation, not guesswork.

Finally, curve sketching is one of the most comprehensive exercises in first-year calculus because it integrates nearly every skill you have developed: differentiation rules, solving equations, limits, asymptotic analysis, and geometric interpretation. Mastering the method consolidates all of these simultaneously.

The Three Layers of Information Every function f gives you three layers to work with. f(x) itself gives you position: where the curve is, what its intercepts are, where it is defined. f′(x) gives you velocity: is the curve moving upward or downward, and where does it have a horizontal tangent? f″(x) gives you acceleration: is the slope itself speeding up or slowing down, and where does the curve change its direction of bending? Together these three layers are almost always sufficient to sketch the curve accurately between any two vertical asymptotes.

§ 02The 7-Step Method — Overview

Work through these seven steps in order for any function. Each step is fast once you have the previous result. Skipping steps is the main cause of incomplete or incorrect sketches, even experienced students who skip the symmetry check occasionally miss a shortcut that halves the remaining work.

Step 01
Domain
Identify every x-value where f(x) is undefined. For rational functions: exclude where the denominator is zero. For even roots: require the radicand to be non-negative. For logarithms: require the argument to be strictly positive. State the domain as an interval or union of intervals.
Step 02
Intercepts
Find the y-intercept by evaluating f(0) — provided 0 is in the domain. Find x-intercepts by solving f(x) = 0. For rational functions this means setting the numerator equal to zero (at points that are in the domain). State clearly which intercepts exist and which do not.
Step 03
Symmetry
Replace every x with −x and simplify. If you recover f(x) exactly, the function is even (y-axis symmetry). If you recover −f(x) exactly, it is odd (origin symmetry). Exploiting symmetry lets you sketch only half the curve and reflect it.
Step 04
Asymptotes
Vertical: where the denominator is zero after full cancellation. Horizontal: limits at ±∞. Oblique: long division when the numerator's degree is exactly one more than the denominator's. Draw all asymptotes as dashed lines before completing the curve.
Step 05
Increasing & Decreasing
Compute f′(x). Solve f′(x) = 0 to find critical numbers, and also note where f′ is undefined (within the domain). Build a sign chart of f′ across the real line. Where f′ > 0 the curve rises; where f′ < 0 it falls. Critical numbers where the sign changes are local extrema.
Step 06
Concavity & Inflection
Compute f″(x). Solve f″(x) = 0 and note where f″ is undefined. Build a sign chart of f″. Where f″ > 0 the curve is concave up (cup shape); where f″ < 0 it is concave down (cap shape). Points where the sign of f″ changes are inflection points.
Step 07
Sketch
Plot all key points (intercepts, local maxima and minima, inflection points). Draw all asymptotes as dashed lines. Connect the points with a smooth curve that agrees with the direction (increasing/decreasing) and concavity (up/down) at every interval. Check: no feature should contradict the sign charts.

§ 03Step 1 & 2 — Domain and Intercepts

Finding the Domain

The domain is the set of all x-values for which f(x) produces a real number. Three types of restriction are common at this level of calculus:

Rational Functions
Exclude zeros of the denominator After factoring, any x that makes the denominator zero is excluded. If the same factor appears in the numerator, cancel it — that point becomes a hole (removable discontinuity), not a vertical asymptote.
Even Roots
Require radicand ≥ 0 For f(x) = √g(x), solve g(x) ≥ 0. The boundary points of the solution set are also included if the square root is defined there (g = 0 gives √0 = 0, which is valid). Odd roots have no restriction.
Logarithms
Require argument > 0 (strictly) For f(x) = ln g(x), the domain is {x : g(x) > 0}. Note that ln(0) is undefined (the limit is −∞) and ln of a negative number is not real. The condition is strict inequality, unlike the square root case.

Finding Intercepts

The y-intercept is the point where the curve crosses the vertical axis. Set x = 0 and compute f(0). This gives the y-intercept (0, f(0)), provided 0 is in the domain. If 0 is excluded from the domain (for example, f(x) = 1/x), there is no y-intercept: do not invent one.

x-intercepts (also called zeros or roots) are points where the curve crosses the horizontal axis. Set f(x) = 0 and solve. For rational functions f(x) = P(x)/Q(x), the zeros of f are the zeros of the numerator P(x), provided those values are in the domain (i.e. they don't also make Q zero). For polynomial functions, use factoring, the quadratic formula, or numerical methods. Report each x-intercept as a coordinate pair (a, 0).

Multiplicity Tells You How the Curve Crosses At a simple zero (factor (x − a) to the first power), the curve crosses the x-axis — it passes through from one side to the other. At a double zero (factor (x − a)² ), the curve touches the x-axis and bounces back — it does not cross. At a triple zero it crosses but with a horizontal inflection. Multiplicity is therefore additional information for your sketch even before you compute any derivatives.

Plot intercepts immediately, they are anchor points that constrain the rest of the sketch. Every other feature (local extrema, inflection points) will be placed relative to these known locations on the axes.

§ 04Step 3 — Symmetry

Symmetry is a shortcut that can halve the amount of work in every subsequent step. Before differentiating, spend thirty seconds testing whether the function is even or odd.

Symmetry Tests
Even:   f(−x) = f(x) for all x in the domain  ⟹  y-axis symmetry Odd:    f(−x) = −f(x) for all x in the domain  ⟹  origin symmetry

Most functions are neither. A function can only be both even and odd if f(x) = 0 everywhere.

Even Symmetry (y-axis) vs Odd Symmetry (origin)
EVEN f(−x) = f(x) x y f(x) f(x) Sketch right half → reflect across y-axis ODD f(−x) = −f(x) x y −f(−x) f(x) Sketch right half → rotate 180° about origin
Even functions (left) have a mirror image across the y-axis — sketch only the right half (x ≥ 0), then reflect. Odd functions (right) have 180° rotational symmetry about the origin — sketch x > 0, then rotate.

To test, substitute −x for every x in the formula and simplify fully. Compare the result to f(x) and to −f(x). Common examples: all polynomials with only even powers are even (x⁴ − 3x² + 1 is even). All polynomials with only odd powers are odd (x³ − 5x is odd). A mixed polynomial like x³ + x² is neither.

Warning: Never Assume Symmetry from Appearance A function that looks roughly symmetric in a rough sketch may not be exactly symmetric. Always verify algebraically. A single constant term added to an odd function (for instance, x³ + 2) destroys the odd symmetry completely, even though the shape may look similar on a rough plot.

§ 05Step 4 — Asymptotes

An asymptote is a line that the curve approaches as x or y tends to a limit. Asymptotes are drawn as dashed lines on the final sketch; they are not part of the curve itself but are essential reference lines that constrain how the curve behaves near the boundary of its domain and at infinity.

TypeHow to FindWhat It Looks Like
Vertical
x = a (a vertical dashed line)
After fully factoring and cancelling common factors, find all x = a where the denominator equals zero but the numerator does not. Confirm by checking that limx→a |f(x)| = ∞. The curve shoots to +∞ or −∞ on one or both sides of x = a. The curve never crosses a vertical asymptote.
Horizontal
y = L (a horizontal dashed line)
Compute limx→+∞ f(x) and limx→−∞ f(x). If either equals a finite number L, then y = L is a horizontal asymptote. Different horizontal asymptotes are possible as x → +∞ and x → −∞. The curve levels off and approaches the line y = L from above or below. Unlike vertical asymptotes, the curve can cross a horizontal asymptote for finite x.
Oblique (Slant)
y = mx + b (a slanted dashed line)
Arises when deg(numerator) = deg(denominator) + 1. Perform polynomial long division: write f(x) = (mx + b) + R(x)/Q(x). As x → ±∞, the remainder R(x)/Q(x) → 0, so the curve approaches y = mx + b. The curve approaches a diagonal line rather than a flat one. You cannot have both a horizontal and an oblique asymptote in the same direction.
Three Types of Asymptote — Visual Guide
VERTICAL x = a x = a curve → ±∞ near x = a HORIZONTAL y = L y = L curve levels off as x → ∞ OBLIQUE y = mx + b y = mx+b curve approaches a slant line
Asymptotes (dashed) are never part of the curve. Left: curve cannot cross a vertical asymptote. Centre: a horizontal asymptote can be crossed for finite x. Right: an oblique asymptote appears when the degree of the numerator exceeds the denominator by exactly one.
Holes vs Vertical Asymptotes — Always Cancel First If the numerator and denominator of a rational function share a common factor (x − a), that factor must be cancelled before declaring a vertical asymptote at x = a. After cancellation, x = a produces a hole (removable discontinuity) — an open circle on the sketch at (a, limx→a f(x)), not a dashed vertical line. For example, f(x) = (x² − 1)/(x − 1) = (x+1)(x−1)/(x−1) simplifies to x + 1 with a hole at x = 1. The sketch is the line y = x + 1 with a single missing point.
♦   ♦   ♦

§ 06Step 5 — Increasing, Decreasing & the First Derivative Test

The first derivative f′(x) measures the instantaneous rate of change of f: geometrically, it is the slope of the tangent line at each point. Its sign tells you the direction the curve is moving at every x-value in the domain. Positive slope means the curve climbs from left to right; negative slope means it descends.

First Derivative Sign Rules
f′(x) > 0 on (a, b)  ⟹   f is strictly increasing on (a, b) f′(x) < 0 on (a, b)  ⟹   f is strictly decreasing on (a, b) f′(c) = 0 or undefined, c in domain  ⟹   c is a critical number

Building a Sign Chart for f′

The sign chart is the practical tool for applying the first derivative test across an entire function, not just at a single point. Here is the procedure in full:

1. Find all critical numbers. Solve f′(x) = 0 algebraically: factor where possible, use the quadratic formula when needed. Also identify any x-values in the domain where f′ is undefined (sharp corners, cusps).

2. Mark a number line. Place the critical numbers, vertical asymptotes, and any domain boundary points on a number line. These divide the real line into open intervals.

3. Test one value per interval. Choose any convenient test value inside each interval (the midpoint, or a convenient integer). Evaluate the sign of f′ at that point, you only need to know whether f′ is positive or negative, not its exact value. If f′ factors nicely, test the sign of each factor separately and multiply.

4. Apply the first derivative test. At each critical number c, look at the sign of f′ on each side:

f′ changes + to −
Local maximum at x = c The curve was rising, reached a peak at c, and is now falling. The point (c, f(c)) is a local maximum — the highest point in a neighbourhood around c.
f′ changes − to +
Local minimum at x = c The curve was falling, reached a trough at c, and is now rising. The point (c, f(c)) is a local minimum — the lowest point in a neighbourhood around c.
f′ does not change sign
Saddle point — neither max nor min If f′ is positive on both sides (or negative on both sides), c is a saddle point (also called a horizontal inflection or a stationary point of inflection). The curve briefly flattens and then continues in the same direction.
First Derivative Sign Chart — How to Read It
c₁ c₂ f ′: + 0 0 + LOCAL MAX LOCAL MIN
f′ is positive before c₁ (curve rising), zero at c₁ (local maximum), negative between c₁ and c₂ (curve falling), zero at c₂ (local minimum), then positive again (curve rising). The sign chart captures all this at a glance.

§ 07Step 6 — Concavity and Inflection Points

While the first derivative describes whether the curve goes up or down, the second derivative f″(x) describes how the curve bends. A positive second derivative means the slope is increasing from left to right: the curve bends upward like a cup. A negative second derivative means the slope is decreasing, the curve bends downward like a cap.

Second Derivative Concavity Rules
f″(x) > 0 on (a, b)  ⟹   f is concave up on (a, b)    (cup ∪) f″(x) < 0 on (a, b)  ⟹   f is concave down on (a, b)  (cap ∩) f″ changes sign at c  ⟹   inflection point at (c, f(c))

Understanding Concavity Visually

The cup-and-cap language is intuitive: a concave-up curve holds water, while a concave-down curve spills it. More precisely, a concave-up curve lies above all its tangent lines (the tangent lines are below the curve), while a concave-down curve lies below all its tangent lines.

Concave Up (f″ > 0) vs Concave Down (f″ < 0)
CONCAVE UP f″ > 0 m₁ < 0 m₂ = 0 m₃ > 0 Slopes increasing → tangents lie below curve CONCAVE DOWN f″ < 0 m₁ > 0 m₂ = 0 m₃ < 0 Slopes decreasing → tangents lie above curve
Left: concave up — slopes go from negative to zero to positive (f″ > 0), tangent lines lie below the curve. Right: concave down — slopes go from positive to zero to negative (f″ < 0), tangent lines lie above the curve.

Inflection Points — Where Concavity Changes

An inflection point is a point on the curve where the concavity changes from up to down (or from down to up). At the inflection point, the curve momentarily has a linear quality, it is neither bending upward nor downward at that instant. The second derivative is zero (or undefined) at an inflection point, but the sign of f″ must actually change, not just be zero.

Critical Rule: f″(c) = 0 Does NOT Guarantee an Inflection Point Consider f(x) = x⁴. Then f″(x) = 12x², so f″(0) = 0. But 12x² is always non-negative — it does not change sign at x = 0. The curve is concave up on both sides of the origin. There is no inflection point at x = 0, even though f″(0) = 0. Always check for a sign change in f″ before declaring an inflection point. The zero of f″ is only a candidate, not a guarantee.

The Second Derivative Test for Local Extrema

The second derivative also provides a quick classification of critical points where f′(c) = 0. Instead of analysing the sign of f′ on both sides (the first derivative test), you can simply evaluate f″(c) and read off the classification:

f″(c) > 0
Local minimum at c At c the curve is concave up — like a cup — and the tangent is horizontal. The curve curves away from the tangent upward on both sides. The point (c, f(c)) is a local minimum.
f″(c) < 0
Local maximum at c At c the curve is concave down — like a cap — and the tangent is horizontal. The curve curves away from the tangent downward on both sides. The point (c, f(c)) is a local maximum.
f″(c) = 0
Test is inconclusive When f″(c) = 0 at a critical point, the second derivative test gives no conclusion. Fall back to the first derivative test: analyse the sign of f′ on both sides of c to determine the nature of the extremum.

§ 08Fully Worked Examples

The following eight examples cover the main function types you will encounter: polynomials, rational functions, functions with roots, and logarithmic/exponential functions. Each one is worked through all seven steps, with a sign chart for the derivative and an annotated diagram for the key cases.

Example 01 f(x) = x³ − 3x  — the canonical odd cubic
Domain

All real numbers ℝ. No restrictions for polynomials.

Intercepts

y-int: f(0) = 0.  x-ints: x³ − 3x = x(x² − 3) = 0  →  x = 0, x = ±√3 ≈ ±1.73

Symmetry

f(−x) = −x³ + 3x = −(x³ − 3x) = −f(x). Odd function. Origin symmetry: sketch x ≥ 0 and rotate 180°.

Asymptotes

Polynomial: none. As x → +∞, f → +∞; as x → −∞, f → −∞.

f′(x)
f′ = 3x² − 3 = 3(x − 1)(x + 1)

Critical numbers: x = −1, x = 1.

f′ > 0 on (−∞, −1) and (1, ∞)  [increasing]

f′ < 0 on (−1, 1)                 [decreasing]

Local max: (−1, f(−1)) = (−1, 2)

Local min: (1, f(1)) = (1, −2)

f″(x)
f″ = 6x

f″ = 0 at x = 0. Sign changes (− to +) → inflection point at (0, 0).

Concave down on (−∞, 0); concave up on (0, ∞).

f(x) = x³ − 3x
−√3 √3 −1 1 2 −2 (−1, 2) (1,−2) infl (0,0) x y
Gold: local max/min. Red: inflection point. Teal: x-intercepts at ±√3.
Example 02 f(x) = 1/(x² − 4)  — vertical and horizontal asymptotes
Domain

x² − 4 = (x−2)(x+2) = 0 at x = ±2. Domain: ℝ \ {−2, 2}.

Intercepts

y-int: f(0) = 1/(−4) = −1/4.   x-ints: numerator = 1 ≠ 0: no x-intercepts.

Symmetry

f(−x) = 1/(x²−4) = f(x). Even function, y-axis symmetry.

Asymptotes

Vertical: x = 2 and x = −2 (denominator = 0, numerator ≠ 0: no cancellation).

Horizontal: limx→±∞ 1/(x²−4) = 0. Horizontal asymptote: y = 0 (the x-axis).

f′(x)
f′ = −2x / (x² − 4)²

f′ = 0 at x = 0. Sign: f′ > 0 for x < 0 (increasing); f′ < 0 for x > 0 (decreasing).

Local maximum at x = 0: f(0) = −1/4. (This is a maximum within each connected branch, the middle branch.)

Behaviour

As x → 2⁻: denominator → 0⁻, so f → −∞. As x → 2⁺: denominator → 0⁺, so f → +∞.

As x → −2⁺: denominator → 0⁻, so f → −∞. As x → −2⁻: f → +∞.

For |x| large: f approaches y = 0 from above (since x²−4 > 0 and so f > 0 for |x| > 2).

Sketch summary
Three separate branches: two outer branches in quadrants I and II (approaching y=0 from above), one middle branch entirely below x-axis with peak at (0, −1/4).
Example 03 f(x) = x⁴ − 8x²  — quartic with two local minima
Domain & ints

ℝ. y-int: 0. x-ints: x²(x²−8) = 0 → x = 0 (double), x = ±2√2.

Symmetry

f(−x) = x⁴ − 8x² = f(x). Even, sketch x ≥ 0 and reflect.

f′(x)
f′ = 4x³ − 16x = 4x(x² − 4) = 4x(x−2)(x+2)

Critical numbers: x = −2, 0, 2.

x(−∞,−2)−2(−2,0)0(0,2)2(2,∞)
f′0+00+
f↘ decloc min↗ incloc max↘ decloc min↗ inc

f(−2) = 16 − 32 = −16 (local min),  f(0) = 0 (local max),  f(2) = −16 (local min).

f″(x)
f″ = 12x² − 16

f″ = 0 → x² = 4/3 → x = ±2/√3 ≈ ±1.155.

Sign of f″ changes at each: inflection points at x = ±2/√3.

f(±2/√3) = (4/3)² − 8(4/3) = 16/9 − 32/3 = −80/9 ≈ −8.89.

Key Points
Local min (±2, −16)    Local max (0, 0)    Inflections (±2/√3, −80/9)    x-ints at 0, ±2√2
Example 04 f(x) = x²/(x − 1)  — vertical and oblique asymptotes
Domain

x ≠ 1. Domain: (−∞, 1) ∪ (1, ∞).

Intercepts

y-int: f(0) = 0. x-int: x² = 0 → x = 0 (double root: curve touches and bounces).

Asymptotes

Vertical: x = 1 (denominator = 0; numerator = 1 ≠ 0).

Oblique: Long division: x² ÷ (x−1) = x + 1 + 1/(x−1). As x → ±∞, 1/(x−1) → 0. Oblique asymptote: y = x + 1.

f′(x)
f′ = x(x − 2) / (x − 1)²

Critical numbers in domain: x = 0, x = 2.

f′ > 0 on (−∞, 0): increasing. f′ < 0 on (0,1) and (1,2): decreasing. f′ > 0 on (2,∞): increasing.

Local max at (0, 0); local min at (2, 4).

Key Features
Vertical: x = 1   Oblique: y = x+1   Local max (0, 0)   Local min (2, 4)
Example 05 f(x) = x ln x  — logarithmic, domain x > 0
Domain

x > 0 (ln requires positive argument). No y-intercept (0 excluded), though limx→0⁺ x ln x = 0.

Intercepts

x-int: x ln x = 0 → ln x = 0 → x = 1. Intercept: (1, 0).

f′(x)
f′ = ln x + 1

f′ = 0 → ln x = −1 → x = e⁻¹ = 1/e ≈ 0.368.

f′ < 0 on (0, 1/e): decreasing. f′ > 0 on (1/e, ∞): increasing.

Local minimum at x = 1/e: f(1/e) = (1/e)(−1) = −1/e ≈ −0.368.

f″(x)
f″ = 1/x > 0 for all x > 0

Always concave up on the domain. No inflection points.

Key Features
Min (1/e, −1/e)   x-int (1, 0)   Always concave up   Curve rises to +∞ as x → +∞
Example 06 f(x) = (x² + x − 2)/(x − 1)  — spotting a hole
Factor first
x² + x − 2 = (x + 2)(x − 1)

So f(x) = (x+2)(x−1)/(x−1) = x + 2 for x ≠ 1. The (x−1) factor cancels: x = 1 is a hole, not a vertical asymptote.

After cancellation

f(x) = x + 2 with a removable discontinuity at (1, 3). Sketch: the straight line y = x + 2 with an open circle at (1, 3). y-int: (0, 2). x-int: (−2, 0).

Lesson
Always factorise numerator and denominator and cancel before analysing asymptotes. A cancelled factor gives a hole (open circle), never a vertical asymptote.
Example 07 f(x) = √(4 − x²)  — semicircle, restricted domain
Domain

4 − x² ≥ 0 → x² ≤ 4 → −2 ≤ x ≤ 2. Domain: [−2, 2].

Intercepts

y-int: f(0) = 2. x-ints: f(x) = 0 → 4 − x² = 0 → x = ±2.

Symmetry

f(−x) = √(4 − x²) = f(x). Even: y-axis symmetry.

f′(x)
f′ = −x / √(4 − x²)

f′ = 0 at x = 0 (local max, f(0) = 2). f′ undefined at x = ±2 (endpoints with vertical tangents). Curve decreases for x > 0, increases for x < 0.

f″(x)
f″ = −4/(4 − x²)^(3/2) < 0 on (−2, 2)

Always concave down on the domain: this is the upper semicircle of x² + y² = 4. No inflection points.

Result
Upper semicircle, radius 2, centred at origin. Max (0, 2), endpoints (±2, 0) with vertical tangents.
Example 08 f(x) = (x² − 1)/x  — complete annotated sketch with all features
Domain

x ≠ 0. Domain: (−∞, 0) ∪ (0, ∞).

Intercepts

No y-int (x=0 excluded). x-ints: x²−1 = 0 → x = ±1. Intercepts (−1, 0) and (1, 0).

Symmetry

f(−x) = (x²−1)/(−x) = −(x²−1)/x = −f(x). Odd: origin symmetry.

Asymptotes

Vertical: x = 0 (denominator = 0; numerator = −1 ≠ 0 there).

Oblique: (x²−1)/x = x − 1/x. As x → ±∞, 1/x → 0. Oblique: y = x.

f′(x)
f′ = (x² + 1)/x²

x² + 1 > 0 always, x² > 0 for x ≠ 0. So f′ > 0 everywhere in the domain. The function is strictly increasing on each branch. No local extrema.

f″(x)
f″ = −2/x³

f″ > 0 for x < 0 (concave up). f″ < 0 for x > 0 (concave down). No inflection points in the domain (x = 0 is excluded).

f(x) = (x²−1)/x with all features labelled
−1 1 x=0 y=x (−1,0) (1,0) f″>0 f″<0 x y
Red dash: vertical asymptote. Gold dash: oblique asymptote y = x. Teal dots: x-intercepts. Left branch concave up; right branch concave down.

§ 09Common Mistakes in Curve Sketching

The mistakes below account for the large majority of lost marks in curve sketching questions. Each is paired with the correction.

Mistake 1
Not cancelling before declaring an asymptote Declaring x = a a vertical asymptote without first checking whether (x − a) also appears in the numerator. A shared factor produces a hole (open circle), not an asymptote. Always factorise and cancel first.
Mistake 2
Declaring an inflection point at every zero of f″ f″(c) = 0 is necessary but not sufficient. The sign of f″ must actually change at c. Test the sign of f″ on both sides. Example: f(x) = x⁴ has f″(0) = 0 but is concave up everywhere — no inflection at x = 0.
Mistake 3
Forgetting that f′ undefined ⟹ critical number too Critical numbers are values where f′ = 0 or where f′ does not exist (and the original function f is still defined there). Sharp corners and cusps are critical numbers that often produce local extrema.
Mistake 4
Confusing local and global extrema A local maximum is the highest point in some neighbourhood — not necessarily the highest on the entire domain. Many functions have local maxima while being unbounded above overall. Local and global are distinct concepts.
Mistake 5
Using the second derivative test when f″(c) = 0 If f″(c) = 0 at a critical point, the second derivative test is inconclusive. You must fall back to the first derivative test, checking the sign of f′ on both sides of c. Do not conclude "local min" or "local max" from f″(c) = 0.
Mistake 6
Drawing the curve crossing a vertical asymptote A curve cannot cross a vertical asymptote — the function is undefined there. It can, however, cross a horizontal or oblique asymptote at a finite x-value. Verify which type of asymptote is involved before deciding whether the curve may cross it.

§ 1010-Question Quiz

The quiz tests all seven steps of the method. Each question has a single best answer and a detailed explanation.

§ 11Continue the Applications Series

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